New York Mortgage Preferred Stock Price on April 10, 2024
| NYMTZ Preferred Stock | USD 19.80 0.02 0.10% |
If you're considering investing in New Preferred Stock, it is important to understand the factors that can impact its price. As of today, the current price of New York stands at 19.80, as last reported on the 25th of November, with the highest price reaching 19.80 and the lowest price hitting 19.69 during the day. At this stage we consider New Preferred Stock to be very steady. New York Mortgage has Sharpe Ratio of 0.12, which conveys that the firm had a 0.12% return per unit of risk over the last 3 months. We have found thirty technical indicators for New York, which you can use to evaluate the volatility of the firm. Please verify New York's Mean Deviation of 0.6592, downside deviation of 0.8234, and Risk Adjusted Performance of 0.1101 to check out if the risk estimate we provide is consistent with the expected return of 0.11%.
New Preferred Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
New |
Sharpe Ratio = 0.1158
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | ||||
| Cash | NYMTZ | Average Risk | High Risk | Huge Risk |
| Negative Returns |
Estimated Market Risk
| 0.92 actual daily | 8 92% of assets are more volatile |
Expected Return
| 0.11 actual daily | 2 98% of assets have higher returns |
Risk-Adjusted Return
| 0.12 actual daily | 9 91% of assets perform better |
Based on monthly moving average New York is performing at about 9% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of New York by adding it to a well-diversified portfolio.
New York Valuation on April 10, 2024
It is possible to determine the worth of New York on a given historical date. On April 10, 2024 New was worth 16.93 at the beginning of the trading date compared to the closed value of 16.8. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of New York preferred stock. Still, in general, we apply an absolute valuation method to find New York's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of New York where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against New York's related companies.
| Open | High | Low | Close | Volume | |
| 16.98 | 17.00 | 16.78 | 16.85 | 7,200 | |
04/10/2024 | 16.93 | 16.93 | 16.76 | 16.80 | 6,900 |
| 17.04 | 17.04 | 16.62 | 16.62 | 5,500 |
| Backtest New York | | | New York History | | | New York Valuation | Previous | Next |
New York Trading Date Momentum on April 10, 2024
| On April 11 2024 New York Mortgage was traded for 16.62 at the closing time. The highest daily price throughout the period was 17.04 and the lowest price was 16.62 . The daily volume was 5.5 K. The net trading volume on 04/11/2024 added to the next day price reduction. The trading delta at closing time to closing price of the next trading day was 1.07% . The trading delta at closing time to current closing price is 0.24% . |
New York Mortgage Fundamentals Correlations and Trends
By evaluating New York's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among New York's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. New financial account trend analysis is a perfect complement when working with valuation or volatility modules.About New York Preferred Stock history
New York investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for New is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in New York Mortgage will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing New York stock prices may prove useful in developing a viable investing in New York
New York Mortgage Trust, Inc. acquires, invests in, finances, and manages mortgage-related single-family and multi-family residential assets in the United States. The company was incorporated in 2003 and is headquartered in New York, New York. New York operates under REITMortgage classification in the United States and is traded on NASDAQ Exchange. It employs 70 people.
New York Preferred Stock Technical Analysis
New York technical preferred stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, preferred stock market cycles, or different charting patterns.
Price Boundaries
New York Period Price Range
Low | November 25, 2024
| High |
0.00 | 0.00 |
New York Mortgage cannot be verified against its exchange. Please verify the symbol is currently traded on NASDAQ Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
New York November 25, 2024 Market Strength
Market strength indicators help investors to evaluate how New York preferred stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading New York shares will generate the highest return on investment. By undertsting and applying New York preferred stock market strength indicators, traders can identify New York Mortgage entry and exit signals to maximize returns
New York Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for New York's price direction in advance. Along with the technical and fundamental analysis of New Preferred Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of New to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.1101 | |||
| Jensen Alpha | 0.1355 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | (0.84) |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Additional Tools for New Preferred Stock Analysis
When running New York's price analysis, check to measure New York's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy New York is operating at the current time. Most of New York's value examination focuses on studying past and present price action to predict the probability of New York's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move New York's price. Additionally, you may evaluate how the addition of New York to your portfolios can decrease your overall portfolio volatility.